Using a two-way anova model, solve.
The null hypotheses are:
H0: μ1 = μ2 = μ3 or more
H0: μ4 to 5 = μ6 to 7 = μ8 to 9 = μ10 to 12
Use the Excel data below:
Number of children in family | ||||
1 | 2 | 3 or More | ||
4-5 | 2 | 1 | 1 | |
age of | 4 | 2 | 1 | |
child | 6-7 | 5 | 3 | 2 |
(in years) | 4 | 1 | 1 | |
8-9 | 8 | 4 | 2 | |
6 | 5 | 3 | ||
10-12 | 7 | 3 | 4 | |
8 | 5 | 3 | ||
cell entries are child-influenced purchase counts |
a)
Source of Variation | SS | df | MS | F | P-value | F crit |
Age of Child | 42.45833 | 3 | 14.15278 | 14.76812 | 0.000248446 | 3.490295 |
Number of children in family | 49.08333 | 2 | 24.54167 | 25.6087 | 4.67808E-05 | 3.885294 |
Interaction | 4.916667 | 6 | 0.819444 | 0.855072 | 0.553063923 | 2.99612 |
Within | 11.5 | 12 | 0.958333 | |||
Total | 107.9583 | 23 |
b)
F | P-value | F crit |
14.76812 | 0.000248446 | 3.490295 |
yes there is an effect
c)
We cannot reject null hypothesis at 0.05
THANKS
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